Dragos Stefan Munteanu

923 citations
9 papers · 527 · h-index 8

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Semantic Web and Ontologies
    • Advanced Text Analysis Techniques
    • Speech and dialogue systems
    • Text and Document Classification Technologies

Papers in

Dragos Stefan Munteanu

9 papers receiving 440 citations

Peers

Dragos Stefan Munteanu
Comparison fields: 5 of 29
  • Artificial Intelligence 507
  • Language and Linguistics 29
  • Computer Vision and Pattern Recognition 49
  • Information Systems 48
  • Communication 13
Replace Arul Menezes with:
Arul Menezes United States
Bogdan Babych United Kingdom
Milen Kouylekov Italy
Daniele Vannella Italy
Rejwanul Haque Ireland
Karolina Owczarzak United States
Yajuan Lü China
Behrang Mohit United States
Emmanuel Morin France
Víctor M. Sánchez-Cartagena Spain
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Citations per field
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Citations per year

Countries citing papers authored by Dragos Stefan Munteanu

Since Specialization
Citations

This map shows the geographic impact of Dragos Stefan Munteanu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dragos Stefan Munteanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragos Stefan Munteanu more than expected).

Fields of papers citing papers by Dragos Stefan Munteanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dragos Stefan Munteanu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dragos Stefan Munteanu. The network helps show where Dragos Stefan Munteanu may publish in the future.

Co-authors

The 16 scholars most cited alongside Dragos Stefan Munteanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dragos Stefan Munteanu Line = papers co-authored together Dragos Stefan Munteanu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Dragos Stefan Munteanu

Dragos Stefan Munteanu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 527 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Handwritten Text Recognition Techniques (2 papers), Advanced Text Analysis Techniques (2 papers), Semantic Web and Ontologies (2 papers), Text Readability and Simplification (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper) and Gastrointestinal disorders and treatments (1 paper). The work is most often cited by research in Artificial Intelligence (507 citations), Language and Linguistics (29 citations), Computer Vision and Pattern Recognition (49 citations), Information Systems (48 citations) and Communication (13 citations). Dragos Stefan Munteanu has collaborated with scholars based in United States, Romania and Canada. Frequent co-authors include Daniel Marcu, Eduard Hovy, Liang Zhou, Chin-Yew Lin, Alexander Fraser, Hal Daumé, Ann Irvine, John Morgan, Marine Carpuat and Silvia Fotea. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Children, North American Chapter of the Association for Computational Linguistics and IWSLT.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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